Classical statistics lectures

Slides of lectures given at RIKEN BSI and Kyoto University.
Slides for statistical tests are joint work of Kentaro Katahira and Hideaki Shimazaki.

Hypothesis test 1: t-test, multiple comaparison, and ANOVA

Hypothesis test 2: 2-way ANOVA, non-parameteric tests, and guidelines for statistical tests

Hypothesis test 3: Effect size, power analysis, and density estimation

Principal component analysis

Statistical modeling lectures

Slides of lectures given at Kyoto University

The Boltzmann machine

Hierarchical models and EM algorithm

State-space framework for exponential models

Point process theory

Lecture 0: Course introduction

Lecture 1: A Poisson point process

Lecture 2: Renewal and non-Poisson processes

Lecture 3: Point process-GLM (Encoding)

Lecture 4: Inference for a Poisson process: Spike-rate estimation

Lecture 5: State-space model and a point process filter (Decoding)

Lectures on point process thery

2017 Mar 4 Brain wakate

2016 Feb 10 Introduction to the point process network

A photo cited from the lecture page of Institute of Statistics and Mathematics. http://www.ism.ac.jp/lectures/27n.html

2013 Mar 3-12 Introduction to statistical models of neural spike train data [link]

Two-weeks course at the Institute for Research in Fundamental Sciences, School of Cognitive Sciences